Evidence map›Paper›PMID 38243159›Full record

ArticleBMC public health2024

Metabolic syndrome increases osteoarthritis risk: findings from the UK Biobank prospective cohort study.

Shiyong Zhang, Danni Wang, Jinyu Zhao, Haitong Zhao, Peng Xie, Linli Zheng, Puyi Sheng, Jinqiu Yuan, Bin Xia, Fuxin Wei and 1 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05670314 (Molecular Signatures of Endocannabinoid Induced Pain Relief in Humans), which is not on this map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
17.9field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05670314 nacompletednot on this map

Molecular Signatures of Endocannabinoid Induced Pain Relief in Humans: Lifestyle Interventions, Systemic and Localised Changes

TypeinterventionalSponsorUniversity of NottinghamRan2022 to 2025Enrolled117ConditionsOsteoarthritis, KneeArmsInulin Fibre supplement, Maltodextrin (Placebo), Exercise
3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
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  3. Studying the Natural History of the Knee Joint.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 1 country.

Shiyong Zhang *Department of Joint Surgery, the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China.
Danni Wang *Department of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518000, Guangdong, China.
Jinyu ZhaoDepartment of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730000, Gansu, China.
Haitong ZhaoEvidence Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, 730000, Gansu, China.
Peng XieDigestive Diseases Center, The Seventh Affiliated Hospital,, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China.
Linli ZhengDepartment of Joint Surgery, the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China.
Puyi ShengDepartment of Joint Surgery, the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China.
Jinqiu YuanDepartment of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518000, Guangdong, China.
Bin XiaDepartment of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518000, Guangdong, China. xiab7@mail.sysu.edu.cn.
Fuxin WeiDepartment of Orthopedics, the Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518000, Guangdong, China. weifuxin@mail.sysu.edu.cn.
Ziji ZhangDepartment of Joint Surgery, the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China. zhangziji@mail.sysu.edu.cn.
The First Affiliated Hospital, Sun Yat-sen University · CNThe Seventh Affiliated Hospital of Sun Yat-sen University · CNLanzhou University · CNSun Yat-sen University · CN

Funding

National Natural Science Foundation of China 81972135Natural Science Foundation of Guangdong Province 2021A1515010335Natural Science Foundation of Guangdong Province 2022A1515012279Sanming Project of Medicine in Shenzen Municipality SZSM201911002
6 · The paper itself

Abstract

objectiveThe association between Metabolic Syndrome (MetS), its components, and the risk of osteoarthritis (OA) has been a topic of conflicting evidence in different studies. The aim of this present study is to investigate the association between MetS, its components, and the risk of OA using data from the UK Biobank.

methodsA prospective cohort study was conducted in the UK Biobank to assess the risk of osteoarthritis (OA) related to MetS. MetS was defined according to the criteria set by the International Diabetes Federation (IDF). Additionally, lifestyle factors, medications, and the inflammatory marker C-reactive protein (CRP) were included in the model. Cox proportional hazards regression was used to calculate hazard ratios (HR) and 95% confidence intervals (CI). The cumulative risk of OA was analyzed using Kaplan-Meier curves and log-rank tests. To explore potential nonlinear associations between MetS components and OA risk, a restricted cubic splines (RCS) model was employed. In addition, the polygenic risk score (PRS) of OA was calculated to characterize individual genetic risk.

resultsA total of 45,581 cases of OA were identified among 370,311 participants, with a median follow-up time of 12.48 years. The study found that individuals with MetS had a 15% higher risk of developing OA (HR = 1.15, 95%CI:1.12-1.19). Additionally, central obesity was associated with a 58% increased risk of OA (HR = 1.58, 95%CI:1.5-1.66), while hyperglycemia was linked to a 13% higher risk (HR = 1.13, 95%CI:1.1-1.15). Dyslipidemia, specifically in triglycerides (HR = 1.07, 95%CI:1.05-1.09) and high-density lipoprotein (HR = 1.05, 95%CI:1.02-1.07), was also found to be slightly associated with OA risk. When stratified by PRS, those in the high PRS group had a significantly higher risk of OA compared to those with a low PRS, whereas no interaction was found between MetS and PRS on OA risks. Furthermore, the presence of MetS significantly increased the risk of OA by up to 35% in individuals with elevated CRP levels (HR = 1.35, 95% CI:1.3-1.4).

conclusionMetS and its components have been found to be associated with an increased risk of OA, particularly in individuals with elevated levels of CRP. These findings highlight the significance of managing MetS as a preventive and intervention measure for OA.

Indexed as

Metabolic SyndromeOsteoarthritisBiological Specimen BanksC-Reactive ProteinHumansProspective StudiesRisk FactorsUK BiobankC-Reactive ProteinC-reactive protein (CRP)Metabolic syndrome (MetS)Osteoarthritis (OA)UK Biobank

Identifiers

PMID38243159
PMCPMC10799367
OpenAlexW4391022986

What Socratic holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.